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Machine Learning and Artificial Intelligence, (Hardcover)
This book unifies both theoretical and practical perspectives for a holistic understanding of AI and ML.
Machine Learning and Artificial Intelligence, (Hardcover)
Item #: 154983799

Machine Learning and Artificial Intelligence, (Hardcover)

Item #: 154983799

MKD 6383

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This book unifies both theoretical and practical perspectives for a holistic understanding of AI and ML.
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What Stands Out

Comprehensive Coverage
Offers in-depth insights into machine learning and AI, making complex concepts accessible for beginners and professionals alike, enhancing understanding across various skill levels.
Expert Contributions
Includes chapters from leading industry experts, providing authoritative perspectives and real-world applications, ensuring readers receive the most relevant and current information in the field.
Practical Examples
Features numerous case studies and practical examples, illustrating how machine learning and AI are applied in diverse sectors, helping readers connect theory with practice effectively.

Product Details

Shop Machine Learning and Artificial Intelligence, (Hardcover) online at a best price in North Macedonia. 1459682014
  • The new edition of this popular professional book on artificial intelligence (ML) and machine learning (ML) has been revised for classroom or training use. The new edition provides comprehensive coverage of combined AI and ML theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The fourth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems. Each chapter is accompanied with a set of exercises that will help the reader / student to apply the learnings from the chapter to a real-life problem. Completion of these exercises will help the reader / student to solidify the concepts learned. The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. It makes minimal use of mathematics to make the topics more intuitive and accessible. The book covers a large gamut of topics in the area of AI and ML and a professor can tailor a course on AI / ML based on the book by selecting and re-organizing the sequence of chapters to suit the needs.
Book formatHardcover
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Publication dateDecember, 2022
Pages271
SubgenreTelecommunications
Series titleNo Series
Edition2nd second 2023 Edition
PublisherSpringer International Publishing
Original languagesEnglish
LanguageEnglish
Edu focusTechnology
Educational levelGeneral
Is collectibleN
Binding typeCase Binding
Recording time0 min
Retail packagingSingle Piece
Assembled product dimensions (l x w x h)6.14 x 0.69 x 9.21 in (15.6 x 1.8 x 23.4 cm)
Assembled product weight1.3 lb (590 grams)
Bisac subject headingTechnology & Engineering

Who Should Buy?

Suitable For
  • Students

    Ideal for university students studying data science, offering foundational concepts and project examples in machine learning.

  • Professionals

    Useful for industry professionals looking to deepen their understanding of AI applications and advancements in machine learning.

  • Researchers

    Supports researchers needing comprehensive insights into current trends and methodologies in machine learning and artificial intelligence.

Not Suitable For
  • Casual Readers

    Not suitable for casual readers without a technical background, as it requires prior understanding of complex concepts.

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